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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
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    Explanations

    information about achievements or historical "firsts" of individuals in various sports contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of players achieving notable historical milestones or records in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rex
    -0.67
    embed
    -0.65
    medium
    -0.64
    hift
    -0.63
    zeb
    -0.62
    beaut
    -0.62
    sense
    -0.61
     flyers
    -0.59
    isks
    -0.59
     miscon
    -0.57
    POSITIVE LOGITS
    phies
    0.91
    eligible
    0.83
     ESPN
    0.76
     Fame
    0.72
     Heisman
    0.70
    score
    0.70
     eligible
    0.69
     heirs
    0.69
    Jr
    0.68
     whom
    0.67
    Activations Density 0.225%

    No Known Activations